| |
| """Count images/metadata and write data/manifests/inventory.json.""" |
| from __future__ import annotations |
|
|
| import json |
| from collections import Counter |
| from pathlib import Path |
|
|
| ROOT = Path("/opt/dlami/nvme/workspace/skin_disease_classification") |
| RAW = ROOT / "data/raw" |
| OUT = ROOT / "data/manifests/inventory.json" |
| IMG_EXT = {".jpg", ".jpeg", ".png", ".bmp", ".tif", ".tiff", ".webp"} |
|
|
|
|
| def count_images(path: Path) -> int: |
| if not path.exists(): |
| return 0 |
| n = 0 |
| for p in path.rglob("*"): |
| if p.is_file() and p.suffix.lower() in IMG_EXT: |
| n += 1 |
| return n |
|
|
|
|
| def folder_classes(path: Path) -> dict[str, int]: |
| if not path.exists(): |
| return {} |
| counts: Counter[str] = Counter() |
| for p in path.rglob("*"): |
| if p.is_file() and p.suffix.lower() in IMG_EXT: |
| rel = p.relative_to(path) |
| if len(rel.parts) > 1: |
| counts[rel.parts[0]] += 1 |
| return dict(sorted(counts.items())) |
|
|
|
|
| def main() -> None: |
| inv = { |
| "skindisnet": { |
| "images": count_images(RAW / "skindisnet"), |
| "classes": folder_classes(RAW / "skindisnet"), |
| }, |
| "pad_ufes_20": { |
| "images": count_images(RAW / "pad_ufes_20"), |
| "metadata": str(RAW / "pad_ufes_20/metadata.csv"), |
| }, |
| "scin": { |
| "images": count_images(RAW / "scin"), |
| "cases_csv": str(RAW / "scin/dataset/scin_cases.csv"), |
| "labels_csv": str(RAW / "scin/dataset/scin_labels.csv"), |
| }, |
| "fitzpatrick17k": { |
| "images": count_images(RAW / "fitzpatrick17k"), |
| "csv": str(RAW / "fitzpatrick17k/fitzpatrick17k.csv"), |
| }, |
| "ddi": { |
| "images": count_images(RAW / "ddi"), |
| }, |
| "ham10000_isic2018_task3": { |
| "images": count_images(RAW / "ham10000"), |
| "metadata": str(RAW / "ham10000/HAM10000_metadata.tab"), |
| }, |
| "isic2016_task3": {"images": count_images(RAW / "isic2016")}, |
| "isic2017_task3_labels_only": {"csvs": [p.name for p in (RAW / "isic2017").glob("*.csv")]}, |
| "isic2019": {"images": count_images(RAW / "isic2019")}, |
| "isic2020": { |
| "images": count_images(RAW / "isic2020"), |
| "csvs": [p.name for p in (RAW / "isic2020").glob("*.csv")], |
| }, |
| "isic2024": {"images": count_images(RAW / "isic2024")}, |
| "milk10k": {"images": count_images(RAW / "milk10k")}, |
| } |
| OUT.parent.mkdir(parents=True, exist_ok=True) |
| OUT.write_text(json.dumps(inv, indent=2)) |
| print(json.dumps(inv, indent=2)) |
| print("total_images", sum(v.get("images", 0) for v in inv.values() if isinstance(v, dict))) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
